Tag Archives: iNZight

Chris Wild – Getting Further with Data Analysis Faster and Easier

In September 2015 Professor Chris Wild from the Department of Statistics at the
University of Auckland, New Zealand, gave a PedRIO (Pedagogic Research Institute and Observatory at the University of Plymouth) talk at Plymouth University entitled Getting Further with Data Analysis Faster and Easier.

Chris talked about his recent work with Future Learn developing a MOOC for the University of Auckland. The Future Learn platform and the introductory statistics course entitled ‘Data to Insight’ has been mentioned here before.

In addition, and the main focus of the presentation, Chris talks about the use of software to teach statistics faster and easier, using examples from iNZight, the data analysis software, to demonstrate thisinzight_transp.

The talk was very well attended and included academic staff from across the University. We would like to thank Chris for his presentation and all those who attended and made the event what it was, as well as PedRio for hosting the talk.

Chris was keen to collaborate with others on new and existing projects so please visit his site and email him should you have any further comments or questions.


The video covers the first 40 minuets of the presentation. Video clips from the MOOC, that are now freely available online (check the previous blog post), have been removed to shorten the video.  A further half hour has also been removed, this included an extended live demo of the iNZight software that was not clear enough to view in the video.

This video is a .MOV and may take a while to download.

Data to Insight – MOOC with FREE access

There is still time to signup to the FutureLearn Data to Insight MOOC. This is a fantastic opportunity for anyone who wants to start an introduction to data handling.

The course is being facilitated by the Department of Statistics at The University of Auckland, New Zealand, below you can find a brief introduction from Professor Chris Wild who is based in the department and is the lead educator for Data to Insight.

Note that while the educators and facilitators are based in New Zealand the FutureLearn MOOC is based in the UK where most of the content is hosted.

With the world of data (big and otherwise) growing explosively, statistics education has to find ways to get much further, much faster.

By agreeing to produce a statistics MOOC, my university has given me the space and technical support to produce a prototype for introductory statistics that takes up the challenge of finding ways for getting much further into data much faster. The course, called “Data to Insight” launched on the UK’s FutureLearn platform 10 days ago.

Course Details

Most of the content is delivered in 42 five-minute videos. The course has a 8-week, “3 hours a week” structure and each week features just 30-minutes of instructional video. Within a few days, students are launched into a 10,000-observation, 70-variable dataset derived from a large observational health study (NHANES) and a dataset derived from Gapminder using 30 country-level indicators of over the last 50 years.

There are a large number of new ideas and approaches prototyped in this course and one of the main audiences I want to reach with them is other tertiary (university and college) teachers of statistics and research methods.

To make it easy for you to see quickly what has been done and how, I’ve made a combined course outline/index page which lets you bypass the normal course layout and jump right to particular movies.

Access to the resources can be secured up until 30 November so start the course soon, here: futurelearn.com/courses/data-to-insight

Chris Wild, Department of Statistics, The University of Auckland, New Zealand